Accuracy and reliability
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Science, Technology and Culture, Business StatisticsMille Wilhjelm Poulsen
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The survey was voluntary with a response rate of 36 per cent, and therefore the uncertainty will be higher than in a survey with a much higher response rate. Measurement errors are believed to be very small, as nearly all questions in the survey are qualitative.
Overall accuracy
As the survey is based on a sample, uncertainty is attached to all the figures in the form of random variation. This applies, in particular, to the results broken down according to the most detailed industry, region and size figures, where the figures should only be regarded as normative.
Sampling error
Sampling errors have not been calculated for this statistics.
Non-sampling error
The 64 per cent non-response is believed to be the primary source of uncertainty.
Quality management
Statistics Denmark follows the recommendations on the organisation and management of quality set out in the Code of Practice for European Statistics and the accompanying implementation model, the Quality Assurance Framework. Read more about these on the page Quality in official statistics.
Quality management is supported by common principles, guidelines and managerial responsibility for quality in statistical products and processes. The aim is to ensure a systematic and consistent approach to quality across the entire statistical production.
Quality assurance
Quality assurance at Statistics Denmark is integrated into the statistical production processes and is carried out in accordance with the principles of the Code of Practice for European Statistics. Read more on the page Quality in official statistics.
Quality assurance includes the continuous use of standardised procedures, documentation in line with international standards and internal controls related to data collection, data processing and dissemination. Experience gained from production is continuously used to identify needs for adjustments and improvements.
Quality assessment
The questionnaire has been tested, which should secure a good understanding of the questions for the respondents. At the same time, the population has been scrutinized carefully, and the electronic questionnaire has guided the respondents through the relevant questions. Nearly all questions are qualitative, which - according to previous experiences - result in fewer mistakes than quantitative questions.
Data revision - policy
Statistics Denmark revises published figures in accordance with the Revision Policy for Statistics Denmark. The common procedures and principles of the Revision Policy are for some statistics supplemented by a specific revision practice.
Data revision practice
Not relevant for these statistics.